--- title: "Sui vs Solana: Object Model vs Sealevel, Finality, and Safety" description: "How Sui and Solana compare on parallel execution, finality, smart contract safety, and their blockchain stacks" author: "Sui Foundation" datePublished: 2026-10-27 dateModified: 2026-10-27 category: "Infrastructure" readTime: "9 min" canonical: https://www.sui.io/blog/sui-vs-solana-object-model-finality-safety --- # Sui vs Solana: Object Model vs Sealevel, Finality, and Safety ## Main Takeaways - Both chains run independent transactions at the same time and arrive there differently. Solana schedules concurrent transactions with the Sealevel runtime over an account model. Sui derives parallelism from the object model, where the chain knows before execution which objects a transaction touches. - Solana's finality is about to change. It finalizes in roughly 12.8 seconds today, and the Alpenglow upgrade targets 100 to 150 milliseconds, with feature activation beginning September 28, 2026. Alpenglow replaces Tower BFT and Proof of History with Votor and Rotor, and leaves Sealevel and the account model untouched. - Alpenglow buys that speed with a lower fault-tolerance threshold. Its 20+20 model holds safety against up to 20 percent adversarial stake, down from the 33 percent of traditional BFT, and liveness against up to 20 percent offline stake. - The durable differences are per-account throughput and language design. Transaction independence on Sui is a property of the objects, which is what a single account routing high volume depends on, and Move prevents asset-level bugs that Rust leaves to the developer. Sui and Solana are the two Layer 1 chains that treated performance as an architectural requirement rather than something to optimize later. Both concluded that transactions which do not depend on each other should run at the same time. They disagree about where that independence should come from, and almost every practical difference between the two follows from that disagreement. Solana is fast, holds about $5.9 billion in DeFi TVL against Sui's $473 million (DefiLlama, September 2026), and has one of the largest developer bases in crypto. ## Two roads to parallel execution Solana uses Sealevel, its parallel execution runtime. Sealevel processes many transactions concurrently across CPU cores, and it relies on transactions declaring up front which accounts they will read and write, so the runtime can schedule non-overlapping ones together. Proof of History has given Solana a verifiable ordering of events that supports this concurrency. That part is changing. Alpenglow replaces Proof of History and Tower BFT with Votor for voting and finalization and Rotor for block propagation, moving to a fixed 400 millisecond block time driven by local clocks. Sealevel and the account model are not touched by the upgrade, so the execution story below stays accurate through the transition. Sui uses the object model. Every asset is a distinct on-chain object with explicit ownership, so the system knows before execution exactly which objects a transaction touches. Transactions over different objects run in parallel with no coordination overhead, and simple operations on owned objects can take a fast path that settles without waiting for full consensus. The parallelism comes from the data model rather than from a scheduling layer sitting on top of an account model. That difference shows up under concentrated load. On Sui, two transactions contend only when they touch the same object, so a workload spread across many objects does not queue behind itself. This is the root of Sui's per-account throughput: a single account can route a very high transaction rate, which matters when an agent or a high-frequency application drives many transactions through one account. On an account model, a hot account is a shared resource, and transactions that declare it serialize against each other. ## Finality: where Solana is now and where it is going Solana finalizes deterministically in roughly 12.8 seconds today, with optimistic confirmation in the 500 to 600 millisecond range. Alpenglow changes both numbers. Votor runs two concurrent voting paths: a fast path that finalizes at roughly 100 milliseconds when at least 80 percent of stake approves in one round, and a slower path at roughly 150 milliseconds when 60 percent approves across two rounds. Validator governance approved the design in September 2025 with 98.27 percent support, a community test cluster went live May 11, 2026, and feature activation begins September 28, 2026. Adoption was still early in the run-up: about 0.39 percent of active stake was running a 4.3 build a week before the first migration marker. Alpenglow pays for that speed. Its 20+20 resilience model holds safety against up to 20 percent adversarial stake, down from the 33 percent threshold of traditional Byzantine fault tolerance, and holds liveness against up to 20 percent offline stake. The network cannot tolerate 20 percent hostile and 20 percent offline at the same time. That is a deliberate engineering choice, and it is the tradeoff a builder should weigh alongside the millisecond figure. Sui settles in roughly 390 milliseconds with deterministic finality today. Once Alpenglow is live across the network, raw finality between the two chains lands in the same order of magnitude, which makes the architecture underneath more interesting than the number. ## Mysticeti v2 and what produces Sui's latency Sui's consensus is Mysticeti, a DAG-based protocol where validators certify blocks in parallel rather than in sequence. Mysticeti v2 changed how transactions reach that DAG. Validation is now integrated into consensus, so the commit rule applies to every transaction concurrently and transactions are finalized or rejected alongside block decisions on the same DAG, which removes a round of redundant work. A new component called Transaction Driver replaced the old Quorum Driver: a client submits to a single chosen validator and retrieves effects with quorum validation afterward, rather than broadcasting to every validator twice. Signature batching during block signing cut CPU load on top of that. Measured latency fell about 35 percent for Asia-based nodes, from roughly 1.00 second to 0.65, and about 25 percent for Europe-based nodes, from roughly 0.55 to 0.40. Mysticeti v2 and Transaction Driver became the default from Sui node v1.60. The fast path for owned objects still exists, and Mysticeti v2 narrowed the gap it was closing. Consensus-path latency dropped enough that most workloads no longer depend on bypassing consensus to feel fast. Shared objects, which is anything with contended state such as a DeFi pool, take the full consensus path. Owned-object operations like a straightforward transfer can settle without waiting for it. ## Safety: Move versus Rust Both chains compile to bytecode that executes in parallel on validator hardware, and both let a competent team write high-throughput programs. The difference is what the language stops you from doing. Solana programs are typically written in Rust, a language with strong general-purpose safety guarantees and a large talent pool. Rust protects against many classes of memory error. It was not designed for the asset-handling semantics of a blockchain, so preventing asset-level bugs, double-spends, accounting drift, ownership confusion, sits with the developer and the program's design. Sui uses Move, which Sam Blackshear, the language's creator and a Mysten Labs co-founder, designed from scratch for asset safety. In Move, assets are resources the type system will not let you copy or accidentally destroy, and the object model enforces ownership at the chain level. A category of bugs that have drained other chains cannot be expressed in the first place. For a builder the tradeoff is concrete: Rust brings familiarity and a larger hiring pool, while Move makes asset safety the default behavior of the language. ## Sui and Solana at a glance Dimension Solana Sui Parallel execution Sealevel runtime over an account model Object model; parallelism from data independence Per-account throughput Hot accounts serialize against each other Very high per single account Finality ~12.8s today; Alpenglow targets 100 to 150ms, activation from Sept 28, 2026 ~390ms deterministic Consensus Tower BFT and Proof of History, moving to Votor and Rotor Mysticeti v2, validation integrated into consensus Fault tolerance Alpenglow 20+20 model: safety to 20% adversarial stake Standard BFT threshold Smart contract language Rust Move, designed for asset safety Data model Account model Object model DeFi TVL ~$5.9B ~$473M Integrated stack Rich third-party ecosystem Walrus, Seal, Nautilus, DeepBook native Swipe or scroll horizontally to compare all columns. _Finality and Alpenglow figures: Helius and the Agave v4.3 release schedule, September 2026. TVL: DefiLlama, September 2026. _ ## Beyond the chain: the stack Solana has a deep and active ecosystem, with strong DeFi, NFT, and consumer activity, and a large catalog of third-party infrastructure a developer can draw on. That breadth is a genuine strength, and the TVL gap above is the clearest measure of it. Sui ships an integrated stack as part of the platform: Walrus for decentralized storage, Seal, which encrypts data and manages the access policies that decide who can decrypt it, Nautilus for trusted off-chain computation, DeepBook for on-chain liquidity, gasless stablecoin transfers, zkLogin for one-step sign-in with an existing Google or Apple account, and confidential transfers, in public beta on devnet, which shield transaction amounts from public observers. The components were built to compose. Choosing between the two ecosystems is partly a choice between assembling from a broad third-party catalog and building on a tighter, first-party set of primitives. ## Which one should you build on Solana is a strong choice if your team is fluent in Rust, wants access to its liquidity and ecosystem depth, and is building applications that fit its account-based concurrency model. Its tradeoffs are specific and worth naming: Alpenglow buys 100 to 150 millisecond finality by lowering the adversarial-stake threshold from 33 percent to 20 percent; the account model asks transactions to declare the accounts they touch, and a hot account serializes the transactions that declare it; and Rust leaves asset-level correctness to program design. For many projects those are the right tradeoffs to accept. Sui is the stronger choice when per-account throughput matters, as it does for agent-driven and high-frequency single-account workloads, when you want asset safety enforced by the language, or when an integrated stack of storage, access control, and financial primitives shortens your path to a working product. The two chains made different architectural bets. For workloads where the object model's properties line up with what you are building, Sui's bet is the one that pays off. ## FAQ **Is Sui faster than Solana?** Both are fast and both are getting faster. Sui settles in roughly 390 milliseconds with deterministic finality today. Solana finalizes in roughly 12.8 seconds today, and its Alpenglow upgrade targets 100 to 150 milliseconds with activation beginning September 28, 2026. Once Alpenglow is live the raw numbers are close, and the more durable difference is per-account throughput, which on Sui comes from the object model. **What is the difference between Sui's object model and Solana's Sealevel?** Sealevel schedules concurrent transactions over an account model, relying on transactions declaring the accounts they touch. Sui's object model makes each asset a distinct object, so the chain knows which objects a transaction touches and runs non-overlapping ones in parallel without a scheduling layer. **Does Alpenglow change Solana's execution model?** No. Alpenglow is a consensus-layer redesign. It replaces Tower BFT and Proof of History with Votor and Rotor. Sealevel and the account model are unchanged. **What did Mysticeti v2 change on Sui?** It integrated transaction validation into consensus, so transactions are finalized or rejected alongside block decisions on the same DAG, and it replaced the Quorum Driver with a Transaction Driver that submits to one validator rather than broadcasting to all of them twice. Measured latency fell about 35 percent for Asia-based nodes and about 25 percent for Europe-based nodes. **Move or Rust: which is safer for smart contracts?** Rust offers strong general-purpose safety and a large talent pool, and asset-level safety is left to the developer. Move was designed so assets cannot be copied or destroyed and ownership is enforced by the object model, making a class of asset bugs impossible to express. **Does Sui have a per-account throughput advantage?** Yes. Transaction independence on Sui is a property of objects, so activity over separate objects does not contend and a single account can sustain a very high transaction rate. This matters for agents and high-frequency applications routing many transactions through one account. ## Sources and further reading - Sui object model, Move, and Mysticeti at [docs.sui.io](https://docs.sui.io) - [Mysticeti v2: Faster and Lighter Sui Transaction Processing](https://www.sui.io/blog/mysticeti-v2-sui-consensus) for the Transaction Driver and the measured latency reductions - [Instant Finality for Institutional Finance: A Builder's Guide to Settlement on Sui](https://www.sui.io/blog/builders-guide-settlement-on-sui), September 2026, for finality, cost, and the fast path - [Alpenglow: Solana's Great Consensus Rewrite](https://www.helius.dev/blog/alpenglow), Helius, for Votor, Rotor, and the 20+20 resilience model - [Solana Alpenglow: Activation Begins September 28](https://cryptoticker.io/en/solana-alpenglow-activation-date-validator-check/) for the Agave v4.3 activation schedule and stake migration status - [DefiLlama chain TVL](https://defillama.com/chains) for current DeFi totals